Openvx Programming Guide

Openvx Programming Guide Book PDF
✏Book Title : OpenVX Programming Guide
✏Author : Frank Brill
✏Publisher : Academic Press
✏Release Date : 2020-05-22
✏Pages : 372
✏ISBN : 9780128166192
✏Available Language : English, Spanish, And French

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✏OpenVX Programming Guide Book Summary : OpenVX is the computer vision API adopted by many high-performance processor vendors. It is quickly becoming the preferred way to write fast and power-efficient code on embedded systems. OpenVX Programming Guidebook presents definitive information on OpenVX 1.2 and 1.3, the Neural Network, and other extensions as well as the OpenVX Safety Critical standard. This book gives a high-level overview of the OpenVX standard, its design principles, and overall structure. It covers computer vision functions and the graph API, providing examples of usage for the majority of the functions. It is intended both for the first-time user of OpenVX and as a reference for experienced OpenVX developers. Get to grips with the OpenVX standard and gain insight why various options were chosen Start developing efficient OpenVX code instantly Understand design principles and use them to create robust code Develop consumer and industrial products that use computer vision to understand and interact with the real world

📒Cobol And Visual Basic On Net ✍ Chris L. Richardson

Cobol And Visual Basic On Net Book PDF
✏Book Title : COBOL and Visual Basic on NET
✏Author : Chris L. Richardson
✏Publisher : Apress
✏Release Date : 2008-01-01
✏Pages : 1032
✏ISBN : 9781430207726
✏Available Language : English, Spanish, And French

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✏COBOL and Visual Basic on NET Book Summary : This is a comprehensive .NET-retraining guide written for the COBOL/CICS mainframe programmer from the perspective of a former COBOL/CICS programmer.

Parallel Processing 1980 To 2020 Book PDF
✏Book Title : Parallel Processing 1980 to 2020
✏Author : Robert Kuhn
✏Publisher : Morgan & Claypool Publishers
✏Release Date : 2020-10-14
✏Pages : 166
✏ISBN : 9781681739762
✏Available Language : English, Spanish, And French

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✏Parallel Processing 1980 to 2020 Book Summary : This historical survey of parallel processing from 1980 to 2020 is a follow-up to the authors’ 1981 Tutorial on Parallel Processing, which covered the state of the art in hardware, programming languages, and applications. Here, we cover the evolution of the field since 1980 in: parallel computers, ranging from the Cyber 205 to clusters now approaching an exaflop, to multicore microprocessors, and Graphic Processing Units (GPUs) in commodity personal devices; parallel programming notations such as OpenMP, MPI message passing, and CUDA streaming notation; and seven parallel applications, such as finite element analysis and computer vision. Some things that looked like they would be major trends in 1981, such as big Single Instruction Multiple Data arrays disappeared for some time but have been revived recently in deep neural network processors. There are now major trends that did not exist in 1980, such as GPUs, distributed memory machines, and parallel processing in nearly every commodity device. This book is intended for those that already have some knowledge of parallel processing today and want to learn about the history of the three areas. In parallel hardware, every major parallel architecture type from 1980 has scaled-up in performance and scaled-out into commodity microprocessors and GPUs, so that every personal and embedded device is a parallel processor. There has been a confluence of parallel architecture types into hybrid parallel systems. Much of the impetus for change has been Moore’s Law, but as clock speed increases have stopped and feature size decreases have slowed down, there has been increased demand on parallel processing to continue performance gains. In programming notations and compilers, we observe that the roots of today’s programming notations existed before 1980. And that, through a great deal of research, the most widely used programming notations today, although the result of much broadening of these roots, remain close to target system architectures allowing the programmer to almost explicitly use the target’s parallelism to the best of their ability. The parallel versions of applications directly or indirectly impact nearly everyone, computer expert or not, and parallelism has brought about major breakthroughs in numerous application areas. Seven parallel applications are studied in this book.